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Computation and Communication Efficient Adaptive Federated Optimization of Federated Learning for Internet of Things

https://doi.org/10.3390/electronics12163451

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.iot.2019.100129openalex-snapshot

A survey on internet of things security: Requirements, challenges, and solutions

inferredcites →https://doi.org/10.1109/comst.2021.3075439openalex-snapshot

Federated Learning for Internet of Things: A Comprehensive Survey

inferredcites →https://doi.org/10.1109/comst.2021.3090430openalex-snapshot

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

inferredcites →https://doi.org/10.1109/iotm.004.2100182openalex-snapshot

Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities

inferredcites →https://doi.org/10.1109/jiot.2020.2994596openalex-snapshot

Toward Communication-Efficient Federated Learning in the Internet of Things With Edge Computing

inferredcites →https://doi.org/10.1109/jiot.2021.3099028openalex-snapshot

Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey

inferredcites →https://doi.org/10.1109/jsac.2019.2904348openalex-snapshot

Adaptive Federated Learning in Resource Constrained Edge Computing Systems

inferredcites →https://doi.org/10.1109/jsac.2020.3036952openalex-snapshot

Fast-Convergent Federated Learning

inferredcites →https://doi.org/10.1109/mcom.005.210108openalex-snapshot

Client-Side Optimization Strategies for Communication-Efficient Federated Learning

inferredcites →https://doi.org/10.1109/mnet.011.2000430openalex-snapshot

Federated Learning in Vehicular Networks: Opportunities and Solutions

inferredcites →https://doi.org/10.1109/mwc.011.2000501openalex-snapshot

Federated Learning and Wireless Communications

inferredcites →https://doi.org/10.1109/tac.2021.3092561openalex-snapshot

Distributed Augmented Lagrangian Method for Link-Based Resource Sharing Problems of Multiagent Systems

inferredcites →https://doi.org/10.1109/tdsc.2022.3146448openalex-snapshot

Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization

inferredcites →https://doi.org/10.1109/tip.2020.3005515openalex-snapshot

Image Restoration Using Joint Patch-Group-Based Sparse Representation

inferredcites →https://doi.org/10.1109/tnnls.2020.3015958openalex-snapshot

Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints

inferredcites →https://doi.org/10.1109/tnnls.2021.3131614openalex-snapshot

Model Compression for Communication Efficient Federated Learning

inferredcites →https://doi.org/10.1109/tvt.2020.3027306openalex-snapshot

Adaptive Federated Learning With Gradient Compression in Uplink NOMA

inferredcites →https://doi.org/10.21437/interspeech.2014-274openalex-snapshot

1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs

inferredcites →https://doi.org/10.3390/electronics11172714openalex-snapshot

Genetic Clustered Federated Learning for COVID-19 Detection

inferredcites →https://doi.org/10.3390/rs13132585openalex-snapshot

Advances in IoT and Smart Sensors for Remote Sensing and Agriculture Applications

inferredcites →https://doi.org/10.48550/arxiv.1609.08326openalex-snapshot

Asynchronous Stochastic Gradient Descent with Delay Compensation

inferredcites →https://doi.org/10.48550/arxiv.1610.02132openalex-snapshot

QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding

inferredcites →https://doi.org/10.48550/arxiv.1705.07878openalex-snapshot

TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning

inferredcites →https://doi.org/10.48550/arxiv.1712.01887openalex-snapshot

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

inferredcites →https://doi.org/10.48550/arxiv.1806.04090openalex-snapshot

ATOMO: Communication-efficient Learning via Atomic Sparsification

inferredcites →https://doi.org/10.48550/arxiv.1909.13014openalex-snapshot

FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization

inferredcites →https://doi.org/10.48550/arxiv.2102.07053openalex-snapshot

Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-03985-9_39openalex-snapshot

Reducing Computational Overhead in Federated Learning: A Comprehensive Analysis

inferred← citeshttps://doi.org/10.1007/s10791-026-10272-0openalex-snapshot

A comprehensive survey on communication optimization and privacy preservation in federated learning

inferred← citeshttps://doi.org/10.1016/j.iot.2024.101376openalex-snapshot

Adaptive Single-layer Aggregation Framework for Energy-efficient and Privacy-preserving Load Forecasting in Heterogeneous Federated Smart Grids

inferred← citeshttps://doi.org/10.1109/ictc62082.2024.10827800openalex-snapshot

Trimmed Averaging for Efficient Federated Learning in the Internet of Things

inferred← citeshttps://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics62450.2024.00072openalex-snapshot

Privacy Threats and Countermeasures in Federated Learning for Internet of Things: A Systematic Review

inferred← citeshttps://doi.org/10.1177/18758967261435711openalex-snapshot

Energy-Aware FedDeepRiskNet: Optimized Federated Learning for Edge-Enabled Multi-Hospital Systems

inferred← citeshttps://doi.org/10.3390/app14156827openalex-snapshot

Self-Adaptable Software for Pre-Programmed Internet Tasks: Enhancing Reliability and Efficiency

inferred← citeshttps://doi.org/10.3390/electronics12173560openalex-snapshot

Cost-Efficient Two-Level Modeling of Microwave Passives Using Feature-Based Surrogates and Domain Confinement

inferred← citeshttps://doi.org/10.3390/electronics13234744openalex-snapshot

Federated Learning: Navigating the Landscape of Collaborative Intelligence

inferred← citeshttps://doi.org/10.4018/979-8-3373-8362-0.ch011openalex-snapshot

AI-Driven Border Modernization

inferred← citeshttps://doi.org/10.4018/979-8-3693-1082-3.ch016openalex-snapshot

Application Domains of Federated Learning in Healthcare 5.0

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